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Fiber Optic and Photonic Sensors for Healthcare Monitoring: Technology and Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Optical Sensors".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 3480

Special Issue Editors


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Guest Editor
Department of Mechanical Engineering, Politecnico di Milano, 20156 Milan, Italy
Interests: optical fiber sensors for biomedical applications; fiber Bragg grating sensors; measurement systems based on photonic technologies; thermal therapies for cancer treatment; thermal and mechanical measurements

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Guest Editor
Department of Mechanical Engineering, Politecnico di Milano, 20156 Milan, Italy
Interests: optical fiber sensors; thermal and mechanical measurements; fiber Bragg gratings
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
CICECO-Aveiro Institute of Materials, Physics Department, University of Aveiro, Aveiro, Portugal
Interests: photonics; optics for aerospace; optical sensors; optical devices; machine learning for optics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Fiber optic and photonic sensors exhibit numerous advantageous features, such as lightness, flexibility, small form factor, and immunity to electromagnetic interferences, which make them particularly suitable for healthcare monitoring and application in the biomedical field.

The high metrological performances of fiber optic-based and photonic sensing solutions allow for the detection of subtle changes in physiological parameters. Furthermore, the high sensitivity combined with the miniaturized size allows for the design of wearable and implantable sensors that promote long-term and unobtrusive monitoring, as well as the possible incorporation in medical devices and instrumentation. Integrating these sensors with wireless communication systems enables remote monitoring and telemonitoring, allowing patients and healthcare providers to continuously access vital health data.

With this Special Issue, we invite researchers and scientists working in academia and industry to submit their contributions, i.e., original research articles, reviews, and case studies on the advances, challenges, and novel applications of optical and photonic sensors in health monitoring. We look forward to receiving innovative research works to encourage further development and implementation of these sensing technologies in healthcare settings.

Dr. Leonardo Bianchi
Dr. Paola Saccomandi
Dr. Carlos Marques
Guest Editors

Manuscript Submission Information

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Keywords

  • fiber optic sensors
  • optical fiber technology
  • fiber bragg grating sensors
  • fluoroptic sensors
  • photonic sensors
  • healthcare monitoring
  • wearable sensors
  • physiological monitoring
  • biosensor design and applications
  • metrological characterization of photonic-based sensors

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Published Papers (2 papers)

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Research

17 pages, 1760 KiB  
Article
DEMA: A Deep Learning-Enabled Model for Non-Invasive Human Vital Signs Monitoring Based on Optical Fiber Sensing
by Qichang Zhang, Qing Wang, Weimin Lyu and Changyuan Yu
Sensors 2024, 24(9), 2672; https://doi.org/10.3390/s24092672 - 23 Apr 2024
Viewed by 1233
Abstract
Optical fiber sensors are extensively employed for their unique merits, such as small size, being lightweight, and having strong robustness to electronic interference. The above-mentioned sensors apply to more applications, especially the detection and monitoring of vital signs in medical or clinical. However, [...] Read more.
Optical fiber sensors are extensively employed for their unique merits, such as small size, being lightweight, and having strong robustness to electronic interference. The above-mentioned sensors apply to more applications, especially the detection and monitoring of vital signs in medical or clinical. However, it is inconvenient for daily long-term human vital sign monitoring with conventional monitoring methods under the uncomfortable feelings generated since the skin and devices come into direct contact. This study introduces a non-invasive surveillance system that employs an optical fiber sensor and advanced deep-learning methodologies for precise vital sign readings. This system integrates a monitor based on the MZI (Mach–Zehnder interferometer) with LSTM networks, surpassing conventional approaches and providing potential uses in medical diagnostics. This could be potentially utilized in non-invasive health surveillance, evaluation, and intelligent health care. Full article
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13 pages, 6153 KiB  
Article
Bite Force Mapping Based on Distributed Fiber Sensing Network Approach
by Zhanerke Katrenova, Shakhrizat Alisherov, Madina Yergibay, Zhanat Kappasov, Wilfred Blanc, Daniele Tosi and Carlo Molardi
Sensors 2024, 24(2), 537; https://doi.org/10.3390/s24020537 - 15 Jan 2024
Cited by 2 | Viewed by 1524
Abstract
Bite force measurements are crucial in the realm of biomedical research, particularly in the areas of dentistry and orthodontic care. Various intraoral devices have been used to assess biting force, but each has limitations and drawbacks. Fiber optic sensors (FOSs) offer advantages such [...] Read more.
Bite force measurements are crucial in the realm of biomedical research, particularly in the areas of dentistry and orthodontic care. Various intraoral devices have been used to assess biting force, but each has limitations and drawbacks. Fiber optic sensors (FOSs) offer advantages such as electrical inertness, immunity to electromagnetic interference, and high sensitivity. Distributed fiber optic sensing allows an increase in the number of sensing points and can interrogate numerous reflections from scattering events within an optical fiber. We present four dental bites with heights of 6 mm, which enabled bilateral measurements. U-shaped sensors were prepared by embedding fibers into silicone by folding a single-mode fiber into four lines and multiplexing eight parallel nanoparticle-doped fibers. Dental bite models were created using two silicone materials (Sorta Clear 18 and Sorta Clear 40). The developed sensors were calibrated by applying weights up to 900 g, resulting in a linear response. Experiments were conducted to compare the efficacy of the dental bites. The collection of massive data was enabled by constructing a 2D map of the dental bites during multi-point sensing. Full article
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